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Hiring Opt Student For Data Engineer Jobs (NOW HIRING)

$110 - $165/hr

Integrate APIs for seamless data interoperability. * Develop and deploy full-stack applications ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

New

Data Engineer (BigQuery)

Washington, DC · On-site

$129K - $155K/yr

Develop and maintain infrastructure-as-code for data platform components using Terraform ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a ...

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data ... Support development of reusable frameworks for data ingestion, transformation, and storage.

Data Engineer

Albany, NY · Hybrid

$100K - $110K/yr

The Data Engineer is an integral part of the Information Technology Services department (ITS ... Excellent organizational skills The hiring salary range for this position is $100,000.00 - $110,000 ...

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Data Engineer

Kansas City, MO · On-site

$110 - $140/hr

The Data Engineer will design, implement, and manage scalable data pipelines, databases, and ... Optimize data architecture for both real-time and batch processing workflows. * Integrate and ...

New

Data Engineer III 4P/598

Vestavia Hills, AL · On-site

$114K - $137K/yr

Position Overview The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud ...

New

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

The Data Engineer will be responsible for designing, developing, and optimizing large-scale data pipelines using Databricks, Spark, and Python. This is a short-term, high-priority onsite engagement ...

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering ...

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Data Engineer (Contract)- 5 new contract openings * Location: Onsite 2 days a week * Irving, TX or ... Develop automated workflows for data movement and transformation using GCP-native tools and/or ...

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

The Data Engineer is an integral part of the Information Technology Services department (ITS ... Excellent organizational skills The hiring salary range for this position is $100,000.00 - $110,000 ...

Data Engineer

San Francisco, CA · On-site

$100 - $150/hr

Position Overview We're looking for a data engineer to help us turn raw driving data into the well ... A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

Showing results 41-60

Hiring Opt Student For Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do hiring opt student for data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for hiring opt student for data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data engineer hired under OPT?

A Data Engineer hired under OPT (Optional Practical Training) is an international student in the U.S. on an F-1 visa who has completed or is pursuing their degree and is authorized to work in their field of study. As a Data Engineer, their primary role is to design, build, and maintain the infrastructure and tools needed to collect, store, and analyze large datasets. They work with technologies such as SQL, Python, and big data frameworks to ensure data is accessible and reliable for analytics and business intelligence. OPT allows these students to gain practical experience relevant to their academic background.

What kinds of projects and responsibilities can an OPT student expect when starting as a data engineer?

As an OPT student beginning a Data Engineer role, you can expect to work on projects involving data collection, ETL (Extract, Transform, Load) pipeline development, and database management. Early responsibilities often include supporting senior engineers with data cleaning, designing data models, and collaborating with data analysts and software developers to ensure reliable and accessible data infrastructure. You'll likely use tools such as SQL, Python, and cloud platforms, and participate in team meetings to discuss project goals and troubleshoot data-related challenges. This hands-on experience provides a strong foundation for future career growth in data engineering.

What are the key skills and qualifications needed to thrive as an OPT data engineer, and why are they important?

To excel as an OPT Data Engineer, you need a solid background in computer science, programming (especially Python or Java), and experience with database systems, often supported by a relevant degree. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (AWS, Azure, or GCP), and data pipeline technologies is typically required. Strong problem-solving skills, attention to detail, and effective communication help you stand out in this role. These skills enable efficient data processing and collaboration, which are essential for building reliable, scalable data solutions in a fast-paced environment.

What is the difference between Hiring Opt Student For Data Engineer vs Data Analyst?

AspectHiring Opt Student For Data EngineerData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in data toolsStatistical knowledge, data visualization skills, often a degree in statistics, mathematics, or related fields
Work EnvironmentTechnical teams, data engineering projects, cloud platformsBusiness units, reporting, data interpretation tasks
Employer & Industry UsageTech companies, startups, organizations with data infrastructure needsFinance, marketing, healthcare, and other sectors analyzing data for insights

Hiring Opt Student For Data Engineer roles focus on technical skills like programming and data infrastructure, while Data Analysts emphasize statistical and visualization skills. Both roles support data-driven decision-making but differ in technical depth and project scope.

Are Hiring Opt Students for Data Engineer roles still in demand?

Data Engineer roles, including those suitable for OPT students, remain in demand due to the growing need for data infrastructure and analytics across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are highly valued, and employers often seek candidates with relevant internships or project experience. However, competition can vary based on location and market conditions.

Can I get a hiring opt student for data engineer job with no experience?

Hiring for data engineer positions often requires relevant skills such as programming, data modeling, and familiarity with tools like SQL and Python. While some entry-level roles may consider students with no experience if they demonstrate strong technical aptitude and willingness to learn, most positions prefer candidates with some practical knowledge or internships.
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Infographic showing various Hiring Opt Student For Data Engineer job openings in the United States as of August 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$110 - $165/hr

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Posted 2 days ago

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Job description

Position Summary

Base-2 Solutions is seeking a Data Lake Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.

Essential Duties and Responsibilities
  • Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.
  • Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.
  • Build scalable, secure web applications with metadata-driven search and retrieval features.
  • Integrate APIs for seamless data interoperability.
  • Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
  • Implement RESTful and GraphQL APIs for data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
  • Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
  • Optimize database queries and indexing strategies for large-scale geospatial and structured datasets.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years of equivalent experience in full-stack development and data engineering.
  • Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
  • Experience implementing RESTful and GraphQL APIs for data retrieval and integration.
  • Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.
  • Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.
Preferred Qualifications
  • AWS Certified Data Analytics - Specialty.
  • Microsoft Certified: Azure Data Engineer Associate.
  • ESRI ArcGIS Developer Certification.
Required Education and Experience Equivalency
  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • OR 5 years of equivalent experience in full-stack development and data engineering.
Required Certifications
  • None specified.
Required Security Clearance
  • Active Top Secret/SCI
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